Overview

Dataset statistics

Number of variables20
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory312.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Warnings

Dataset has 6 (0.3%) duplicate rows Duplicates
target has 200 (10.0%) zeros Zeros

Reproduction

Analysis started2020-10-08 15:01:32.818976
Analysis finished2020-10-08 15:02:51.102955
Duration1 minute and 18.28 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

att53
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3141621071
Minimum-4.00889874
Maximum3.2605269
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:51.204139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.00889874
5-th percentile-1.427400028
Q1-0.379750135
median0.352767705
Q31.027219862
95-th percentile1.98163802
Maximum3.2605269
Range7.26942564
Interquartile range (IQR)1.406969998

Descriptive statistics

Standard deviation1.044046091
Coefficient of variation (CV)3.323271862
Kurtosis0.01815572586
Mean0.3141621071
Median Absolute Deviation (MAD)0.703955885
Skewness-0.1703915481
Sum628.3242142
Variance1.090032239
MonotocityNot monotonic
2020-10-08T15:02:51.421983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.8217228720.1%
 
-1.2991957720.1%
 
-1.0013508820.1%
 
1.8434780820.1%
 
0.7255895120.1%
 
0.6253157920.1%
 
0.0673990210.1%
 
0.0723257110.1%
 
-0.2160050910.1%
 
0.4981986310.1%
 
-0.6561574910.1%
 
0.7285560410.1%
 
-0.5651054410.1%
 
1.7392234810.1%
 
0.1874716310.1%
 
1.1617875110.1%
 
0.3298356510.1%
 
0.4591941810.1%
 
1.967015510.1%
 
0.2627201110.1%
 
-1.163405910.1%
 
0.4641809510.1%
 
-1.3722095510.1%
 
1.3626706610.1%
 
0.6283785110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-4.0088987410.1%
 
-3.4482872510.1%
 
-2.8470542410.1%
 
-2.8157846910.1%
 
-2.7730343310.1%
 
-2.6667659310.1%
 
-2.640348210.1%
 
-2.5884797610.1%
 
-2.5686876810.1%
 
-2.5624058210.1%
 
ValueCountFrequency (%) 
3.260526910.1%
 
3.2596249610.1%
 
3.2515926410.1%
 
3.1794371610.1%
 
3.0533144510.1%
 
2.9540121610.1%
 
2.9397964510.1%
 
2.9358701710.1%
 
2.9040389110.1%
 
2.8954145910.1%
 

att59
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1367751203
Minimum-2.95565081
Maximum2.67855763
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:51.824262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2.95565081
5-th percentile-1.663296508
Q1-0.75747436
median-0.13713205
Q30.505088265
95-th percentile1.313226918
Maximum2.67855763
Range5.63420844
Interquartile range (IQR)1.262562625

Descriptive statistics

Standard deviation0.9073158178
Coefficient of variation (CV)-6.633632021
Kurtosis-0.1143214461
Mean-0.1367751203
Median Absolute Deviation (MAD)0.629989055
Skewness-0.0665217751
Sum-273.5502407
Variance0.8232219933
MonotocityNot monotonic
2020-10-08T15:02:52.030002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.9758197120.1%
 
-1.0501626720.1%
 
0.6471934920.1%
 
-1.108910820.1%
 
-0.6409902620.1%
 
-1.8747789920.1%
 
-1.4375339710.1%
 
0.0038160110.1%
 
0.0627531410.1%
 
0.2353032810.1%
 
-0.1386670510.1%
 
1.8126823910.1%
 
0.2406789110.1%
 
-0.390372910.1%
 
1.0349204510.1%
 
-1.1957387910.1%
 
1.9179658910.1%
 
-1.2128069410.1%
 
0.7039951710.1%
 
-0.1017276310.1%
 
-1.1472930910.1%
 
1.6934671410.1%
 
0.0253714310.1%
 
0.3675800610.1%
 
-1.0133767110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-2.9556508110.1%
 
-2.9363462910.1%
 
-2.9010131410.1%
 
-2.7044057810.1%
 
-2.7039601810.1%
 
-2.664134510.1%
 
-2.6015341310.1%
 
-2.5585968510.1%
 
-2.5576481810.1%
 
-2.5544879410.1%
 
ValueCountFrequency (%) 
2.6785576310.1%
 
2.6612808710.1%
 
2.6339633510.1%
 
2.4845621610.1%
 
2.423472410.1%
 
2.3669881810.1%
 
2.2647011310.1%
 
2.1653978810.1%
 
2.1505045910.1%
 
2.1304352310.1%
 

att1
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.119422326
Minimum-16.45930481
Maximum15.77481079
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:52.246430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-16.45930481
5-th percentile-12.05950031
Q1-7.606095075
median-1.7442615
Q34.806998135
95-th percentile12.24028421
Maximum15.77481079
Range32.2341156
Interquartile range (IQR)12.41309321

Descriptive statistics

Standard deviation7.691305182
Coefficient of variation (CV)-6.870780582
Kurtosis-0.9447092659
Mean-1.119422326
Median Absolute Deviation (MAD)6.130976435
Skewness0.2513282407
Sum-2238.844652
Variance59.15617541
MonotocityNot monotonic
2020-10-08T15:02:52.462418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-8.536011720.1%
 
-7.2999315320.1%
 
-3.3892350220.1%
 
11.5772485720.1%
 
11.2516336420.1%
 
-9.256385820.1%
 
-11.5098009110.1%
 
6.2652516410.1%
 
2.8510303510.1%
 
9.3944864310.1%
 
6.0327258110.1%
 
4.0541820510.1%
 
-11.715882310.1%
 
-5.8464522410.1%
 
5.1908249910.1%
 
-11.0022897710.1%
 
7.3698258410.1%
 
-2.8668940110.1%
 
-4.4062147110.1%
 
-6.8961834910.1%
 
-8.7728595710.1%
 
1.8978179710.1%
 
-10.3071041110.1%
 
-4.8127069510.1%
 
-6.2801775910.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-16.4593048110.1%
 
-16.2310638410.1%
 
-16.0003776610.1%
 
-15.7658748610.1%
 
-15.5300979610.1%
 
-15.3482856810.1%
 
-15.0218448610.1%
 
-15.0093526810.1%
 
-14.9174575810.1%
 
-14.7711629910.1%
 
ValueCountFrequency (%) 
15.7748107910.1%
 
15.6411037410.1%
 
15.4791297910.1%
 
15.3168430310.1%
 
15.2532844510.1%
 
15.1543617210.1%
 
15.1318473810.1%
 
15.1177101110.1%
 
15.1058292410.1%
 
15.0861930810.1%
 

att45
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1356902619
Minimum-4.99651814
Maximum5.11201811
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:52.728959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.99651814
5-th percentile-2.176562861
Q1-0.9846320175
median-0.148197415
Q30.700565365
95-th percentile1.941632347
Maximum5.11201811
Range10.10853625
Interquartile range (IQR)1.685197382

Descriptive statistics

Standard deviation1.266248456
Coefficient of variation (CV)-9.331903689
Kurtosis0.1028793123
Mean-0.1356902619
Median Absolute Deviation (MAD)0.83882415
Skewness0.05531484829
Sum-271.3805238
Variance1.603385151
MonotocityNot monotonic
2020-10-08T15:02:52.962506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.8363108620.1%
 
1.2902691420.1%
 
0.1741617320.1%
 
-2.2301263820.1%
 
2.6505842220.1%
 
1.6947326720.1%
 
0.0890096410.1%
 
-0.6037776510.1%
 
-2.0271148710.1%
 
1.2379822710.1%
 
-0.2764159410.1%
 
0.3711611610.1%
 
-0.8212237410.1%
 
-2.9454426810.1%
 
1.383107310.1%
 
0.2217922810.1%
 
1.3708307710.1%
 
0.3546777410.1%
 
-0.6661515210.1%
 
-2.6289782510.1%
 
-1.8168648510.1%
 
0.0072091810.1%
 
-0.4936591410.1%
 
-0.3389043810.1%
 
-1.2316361710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-4.9965181410.1%
 
-3.6921105410.1%
 
-3.6810784310.1%
 
-3.6585817310.1%
 
-3.6293854710.1%
 
-3.4426374410.1%
 
-3.4095430410.1%
 
-3.4060664210.1%
 
-3.3200912510.1%
 
-3.2654604910.1%
 
ValueCountFrequency (%) 
5.1120181110.1%
 
4.2865643510.1%
 
3.9048762310.1%
 
3.8839201910.1%
 
3.6950359310.1%
 
3.5694251110.1%
 
3.3861303310.1%
 
3.2800512310.1%
 
3.2612171210.1%
 
3.1677379610.1%
 

att6
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9032523191
Minimum-9.26566696
Maximum14.05879688
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:53.185779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-9.26566696
5-th percentile-4.582628582
Q1-1.448139068
median0.80668005
Q33.418320475
95-th percentile6.420679424
Maximum14.05879688
Range23.32446384
Interquartile range (IQR)4.866459542

Descriptive statistics

Standard deviation3.422964788
Coefficient of variation (CV)3.789599778
Kurtosis-0.03317434961
Mean0.9032523191
Median Absolute Deviation (MAD)2.42010474
Skewness0.0604637659
Sum1806.504638
Variance11.71668794
MonotocityNot monotonic
2020-10-08T15:02:53.419688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.0734624920.1%
 
-2.0203962320.1%
 
-1.905762220.1%
 
0.0343823420.1%
 
-3.0183155520.1%
 
-1.453728220.1%
 
2.1624393510.1%
 
-2.0152592710.1%
 
-0.6983840510.1%
 
1.9614611910.1%
 
-3.906370410.1%
 
5.2561492910.1%
 
-3.6699345110.1%
 
1.9187774710.1%
 
2.3074536310.1%
 
2.397907510.1%
 
1.4508243810.1%
 
-0.7369053410.1%
 
-2.5521726610.1%
 
7.2423086210.1%
 
-0.5855915510.1%
 
1.6900284310.1%
 
4.1652870210.1%
 
4.8266220110.1%
 
3.9349589310.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-9.2656669610.1%
 
-9.1146354710.1%
 
-8.8163309110.1%
 
-8.5855426810.1%
 
-8.5084476510.1%
 
-8.1246137610.1%
 
-7.9999914210.1%
 
-7.862866410.1%
 
-7.8343753810.1%
 
-7.8089981110.1%
 
ValueCountFrequency (%) 
14.0587968810.1%
 
12.8613023810.1%
 
12.3885564810.1%
 
12.3798055610.1%
 
12.0406770710.1%
 
11.4259910610.1%
 
10.549522410.1%
 
10.4553785310.1%
 
10.375609410.1%
 
9.4676723510.1%
 

att37
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2522877551
Minimum-4.95738125
Maximum4.98971272
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:53.652466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.95738125
5-th percentile-2.274974062
Q1-0.7694962325
median0.313014745
Q31.284770605
95-th percentile2.754924419
Maximum4.98971272
Range9.94709397
Interquartile range (IQR)2.054266838

Descriptive statistics

Standard deviation1.528058433
Coefficient of variation (CV)6.056807761
Kurtosis-0.09420366228
Mean0.2522877551
Median Absolute Deviation (MAD)1.021570445
Skewness-0.1156945831
Sum504.5755101
Variance2.334962574
MonotocityNot monotonic
2020-10-08T15:02:53.872173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.0686078120.1%
 
0.2224023320.1%
 
1.2448613620.1%
 
1.3761923320.1%
 
-1.2162256220.1%
 
-0.0947091620.1%
 
1.0820059810.1%
 
-2.5600490610.1%
 
-0.2478818910.1%
 
-2.1686158210.1%
 
0.4341602310.1%
 
1.8029463310.1%
 
-0.216862210.1%
 
0.007867110.1%
 
-0.2034397110.1%
 
1.9211041910.1%
 
2.3984639610.1%
 
-2.1721420310.1%
 
4.3005800210.1%
 
3.049799210.1%
 
-0.5884690310.1%
 
2.1501476810.1%
 
1.5136911910.1%
 
0.7705535910.1%
 
1.1403641710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-4.9573812510.1%
 
-4.5970511410.1%
 
-4.5290489210.1%
 
-4.3033208810.1%
 
-4.1945695910.1%
 
-4.1522989310.1%
 
-3.9221403610.1%
 
-3.9001202610.1%
 
-3.8933916110.1%
 
-3.8731193510.1%
 
ValueCountFrequency (%) 
4.9897127210.1%
 
4.4454994210.1%
 
4.4265508710.1%
 
4.3296966610.1%
 
4.3005800210.1%
 
4.2547941210.1%
 
4.2516851410.1%
 
4.1274652510.1%
 
3.8831422310.1%
 
3.8782341510.1%
 

att17
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06554698566
Minimum-8.46067524
Maximum8.16146469
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:54.101426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-8.46067524
5-th percentile-4.209822202
Q1-1.548000758
median0.168066505
Q31.714903413
95-th percentile4.015169815
Maximum8.16146469
Range16.62213993
Interquartile range (IQR)3.26290417

Descriptive statistics

Standard deviation2.468134634
Coefficient of variation (CV)37.65443383
Kurtosis0.03661689491
Mean0.06554698566
Median Absolute Deviation (MAD)1.61093712
Skewness-0.1091106404
Sum131.0939713
Variance6.091688572
MonotocityNot monotonic
2020-10-08T15:02:54.308007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.5493615920.1%
 
0.6443471920.1%
 
-1.6857968620.1%
 
1.1225256920.1%
 
0.098514220.1%
 
2.4938924320.1%
 
4.0501728110.1%
 
1.8963446610.1%
 
3.856446510.1%
 
-0.4234367610.1%
 
-1.8107446410.1%
 
0.0886579810.1%
 
0.4168608210.1%
 
1.6909987910.1%
 
-0.5603454110.1%
 
0.8549096610.1%
 
2.2334439810.1%
 
3.3751947910.1%
 
0.5583243410.1%
 
0.779473310.1%
 
1.4534120610.1%
 
1.8209471710.1%
 
-3.1212756610.1%
 
-0.2959020110.1%
 
-1.4538607610.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-8.4606752410.1%
 
-8.3260345510.1%
 
-7.2168359810.1%
 
-6.9361982310.1%
 
-6.8835105910.1%
 
-6.6671867410.1%
 
-6.6449794810.1%
 
-6.5997829410.1%
 
-6.4646549210.1%
 
-6.4246921510.1%
 
ValueCountFrequency (%) 
8.1614646910.1%
 
7.6347932810.1%
 
7.5685749110.1%
 
6.9594488110.1%
 
6.8570585310.1%
 
6.6894235610.1%
 
6.659455310.1%
 
6.3587617910.1%
 
6.3575754210.1%
 
6.34564410.1%
 

att13
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90087794
Minimum-7.80531025
Maximum10.17472744
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:54.537186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7.80531025
5-th percentile-3.792347502
Q1-0.9579608425
median0.930378495
Q32.781693695
95-th percentile5.407412384
Maximum10.17472744
Range17.98003769
Interquartile range (IQR)3.739654537

Descriptive statistics

Standard deviation2.763918523
Coefficient of variation (CV)3.068027754
Kurtosis-0.04156023267
Mean0.90087794
Median Absolute Deviation (MAD)1.872137785
Skewness-0.08802914804
Sum1801.75588
Variance7.639245602
MonotocityNot monotonic
2020-10-08T15:02:54.924899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1116911220.1%
 
1.1485202320.1%
 
4.4546709120.1%
 
0.2114152920.1%
 
8.3064613320.1%
 
-0.1316535520.1%
 
5.1271200210.1%
 
5.8082637810.1%
 
-1.9932355910.1%
 
-1.9537341610.1%
 
-0.6736218910.1%
 
3.9325897710.1%
 
-2.5061767110.1%
 
0.3447290110.1%
 
0.3730301310.1%
 
-1.7181587210.1%
 
-1.0971152810.1%
 
-1.2703983810.1%
 
-1.1764185410.1%
 
-3.3145813910.1%
 
1.7234029810.1%
 
-0.4177514310.1%
 
6.820578110.1%
 
0.7842506210.1%
 
0.6544595410.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-7.8053102510.1%
 
-7.3438863810.1%
 
-7.2933616610.1%
 
-6.8517618210.1%
 
-6.556536210.1%
 
-6.5474433910.1%
 
-6.493023410.1%
 
-6.3823409110.1%
 
-6.3745803810.1%
 
-6.3718781510.1%
 
ValueCountFrequency (%) 
10.1747274410.1%
 
9.3913917510.1%
 
9.3517875710.1%
 
9.1572017710.1%
 
9.037193310.1%
 
8.4439220410.1%
 
8.3064613320.1%
 
8.2685222610.1%
 
8.2592754410.1%
 
7.7805461910.1%
 

att26
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7561577038
Minimum-7.96517658
Maximum5.18897629
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:55.159617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7.96517658
5-th percentile-4.510678724
Q1-2.169165908
median-0.54863131
Q30.714904915
95-th percentile2.401787259
Maximum5.18897629
Range13.15415287
Interquartile range (IQR)2.884070823

Descriptive statistics

Standard deviation2.141334728
Coefficient of variation (CV)-2.83186261
Kurtosis-0.07162782977
Mean-0.7561577038
Median Absolute Deviation (MAD)1.42201531
Skewness-0.3391130927
Sum-1512.315407
Variance4.585314419
MonotocityNot monotonic
2020-10-08T15:02:55.403480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.6531672520.1%
 
0.2462840420.1%
 
-2.4677343420.1%
 
-2.1969919220.1%
 
-0.5853185120.1%
 
0.9372838720.1%
 
-2.0471496610.1%
 
4.778376110.1%
 
1.2258691810.1%
 
-0.0150481410.1%
 
-1.890796910.1%
 
-0.6128246810.1%
 
-1.2770335710.1%
 
-0.5146520110.1%
 
-2.0459260910.1%
 
2.0167310210.1%
 
4.2842731510.1%
 
-7.7965016410.1%
 
0.6017659310.1%
 
0.1811590510.1%
 
-1.5309708110.1%
 
2.184216510.1%
 
-2.5078389610.1%
 
-3.6005663910.1%
 
1.7404607510.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-7.9651765810.1%
 
-7.7965016410.1%
 
-7.7265768110.1%
 
-7.3129310610.1%
 
-6.9918932910.1%
 
-6.9901742910.1%
 
-6.7290010510.1%
 
-6.7265534410.1%
 
-6.5591807410.1%
 
-6.5224037210.1%
 
ValueCountFrequency (%) 
5.1889762910.1%
 
5.1610555610.1%
 
4.778376110.1%
 
4.6343326610.1%
 
4.5197200810.1%
 
4.3901090610.1%
 
4.3409500110.1%
 
4.3396120110.1%
 
4.2842731510.1%
 
4.1790666610.1%
 

att62
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04970680967
Minimum-3.27988744
Maximum2.80928969
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:55.663433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-3.27988744
5-th percentile-1.475028861
Q1-0.666966405
median-0.05813746
Q30.5212995125
95-th percentile1.470984117
Maximum2.80928969
Range6.08917713
Interquartile range (IQR)1.188265917

Descriptive statistics

Standard deviation0.8999257538
Coefficient of variation (CV)-18.1046774
Kurtosis0.0722212245
Mean-0.04970680967
Median Absolute Deviation (MAD)0.59799139
Skewness0.09190173689
Sum-99.41361933
Variance0.8098663623
MonotocityNot monotonic
2020-10-08T15:02:55.874473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.5249615320.1%
 
-0.9781285520.1%
 
0.007911520.1%
 
-1.1118524120.1%
 
0.589187220.1%
 
-1.3926007720.1%
 
1.0500848310.1%
 
0.3870642810.1%
 
0.2370791410.1%
 
-0.0310658810.1%
 
-1.3973774910.1%
 
-1.5988566910.1%
 
-1.0423251410.1%
 
0.6832708710.1%
 
-1.1430931110.1%
 
0.1622148810.1%
 
-0.1812696210.1%
 
0.8972044610.1%
 
0.388396210.1%
 
-0.1280559310.1%
 
0.3136369610.1%
 
-0.522738710.1%
 
-0.2351124710.1%
 
-0.2297104610.1%
 
-0.94424210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-3.2798874410.1%
 
-2.8679063310.1%
 
-2.7926516510.1%
 
-2.7449054710.1%
 
-2.7260563410.1%
 
-2.6856865910.1%
 
-2.6555035110.1%
 
-2.4363133910.1%
 
-2.3789498810.1%
 
-2.3686654610.1%
 
ValueCountFrequency (%) 
2.8092896910.1%
 
2.7870109110.1%
 
2.7047190710.1%
 
2.5631544610.1%
 
2.492259510.1%
 
2.4001445810.1%
 
2.3851499610.1%
 
2.3732230710.1%
 
2.3310368110.1%
 
2.3257641810.1%
 

att57
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04507206405
Minimum-3.47084904
Maximum3.5323596
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:56.098503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-3.47084904
5-th percentile-1.496566271
Q1-0.5996788725
median0.01963997
Q30.6850501325
95-th percentile1.632364798
Maximum3.5323596
Range7.00320864
Interquartile range (IQR)1.284729005

Descriptive statistics

Standard deviation0.9722498395
Coefficient of variation (CV)21.57100767
Kurtosis0.2298309402
Mean0.04507206405
Median Absolute Deviation (MAD)0.644670605
Skewness-0.004258219547
Sum90.1441281
Variance0.9452697504
MonotocityNot monotonic
2020-10-08T15:02:56.306238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.3371565320.1%
 
0.3914914120.1%
 
0.2149045520.1%
 
-0.4621057520.1%
 
0.0145173120.1%
 
1.895627520.1%
 
1.6213644710.1%
 
-2.4347233810.1%
 
1.3212319610.1%
 
-0.0450611110.1%
 
0.8330742110.1%
 
0.5469253110.1%
 
1.1007310210.1%
 
0.1489574910.1%
 
0.3121585810.1%
 
-0.2608544810.1%
 
1.0306105610.1%
 
-0.7974362410.1%
 
2.338692910.1%
 
-1.9739608810.1%
 
-0.6874954710.1%
 
-1.248254310.1%
 
-0.1972515610.1%
 
-0.6876788110.1%
 
-0.869331610.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-3.4708490410.1%
 
-3.3854460710.1%
 
-3.2932047810.1%
 
-3.1238632210.1%
 
-3.0199294110.1%
 
-2.6837458610.1%
 
-2.67991410.1%
 
-2.6133503910.1%
 
-2.5900421110.1%
 
-2.5250773410.1%
 
ValueCountFrequency (%) 
3.532359610.1%
 
3.3808875110.1%
 
3.1715989110.1%
 
2.8427801110.1%
 
2.7836852110.1%
 
2.6973063910.1%
 
2.6677451110.1%
 
2.6484410810.1%
 
2.6281776410.1%
 
2.5859243910.1%
 

att10
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.819707274
Minimum-13.14248276
Maximum8.33450317
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:56.535067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-13.14248276
5-th percentile-8.312092017
Q1-4.46183217
median-1.701357785
Q30.98197749
95-th percentile4.220670369
Maximum8.33450317
Range21.47698593
Interquartile range (IQR)5.44380966

Descriptive statistics

Standard deviation3.816862627
Coefficient of variation (CV)-2.097514628
Kurtosis-0.4375218035
Mean-1.819707274
Median Absolute Deviation (MAD)2.726002985
Skewness-0.1320594399
Sum-3639.414548
Variance14.56844031
MonotocityNot monotonic
2020-10-08T15:02:56.744256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6967350220.1%
 
2.1282796920.1%
 
-7.7749571820.1%
 
-2.587026620.1%
 
0.3744704720.1%
 
-2.430414220.1%
 
-0.4388226310.1%
 
5.3120522510.1%
 
-1.1770386710.1%
 
-3.7875986110.1%
 
-2.4587554910.1%
 
-2.4552493110.1%
 
4.0699768110.1%
 
-3.329991110.1%
 
0.3499545510.1%
 
-2.0578978110.1%
 
-4.1876926410.1%
 
-0.2244016410.1%
 
-5.594437610.1%
 
-2.4394977110.1%
 
2.2755577610.1%
 
-0.9318613410.1%
 
3.5899262410.1%
 
-4.26453410.1%
 
0.6888134510.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-13.1424827610.1%
 
-12.8838062310.1%
 
-12.4990444210.1%
 
-12.2848272310.1%
 
-11.8589019810.1%
 
-11.7782735810.1%
 
-11.7308015810.1%
 
-11.6767730710.1%
 
-11.4886627210.1%
 
-11.3813219110.1%
 
ValueCountFrequency (%) 
8.3345031710.1%
 
8.2060432410.1%
 
7.962158210.1%
 
7.7192649810.1%
 
7.3375945110.1%
 
7.3109459910.1%
 
7.2062687910.1%
 
7.1415691410.1%
 
7.1220111810.1%
 
7.1088557210.1%
 

att41
Real number (ℝ)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1816910667
Minimum-4.70052958
Maximum3.49289632
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:56.954754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.70052958
5-th percentile-2.249929644
Q1-0.977441655
median-0.1729863
Q30.6613143425
95-th percentile1.757302807
Maximum3.49289632
Range8.1934259
Interquartile range (IQR)1.638755998

Descriptive statistics

Standard deviation1.209156461
Coefficient of variation (CV)-6.655013275
Kurtosis0.06995608881
Mean-0.1816910667
Median Absolute Deviation (MAD)0.821643205
Skewness-0.07769631268
Sum-363.3821335
Variance1.462059347
MonotocityNot monotonic
2020-10-08T15:02:57.156284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.7870183620.1%
 
1.2198436320.1%
 
0.179795520.1%
 
-0.5141241620.1%
 
0.5160754920.1%
 
0.210135720.1%
 
0.3407293620.1%
 
-0.9375541810.1%
 
-0.8754527610.1%
 
-1.4827411210.1%
 
-0.3216980710.1%
 
-0.5941261610.1%
 
-1.5194053610.1%
 
1.0202429310.1%
 
0.8418598210.1%
 
-2.0255451210.1%
 
-2.4932799310.1%
 
0.6133941410.1%
 
0.7611014810.1%
 
0.0032042310.1%
 
0.7330615510.1%
 
1.2234029810.1%
 
0.5073537810.1%
 
-1.3965036910.1%
 
0.8591833110.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
-4.7005295810.1%
 
-4.3383274110.1%
 
-3.8912012610.1%
 
-3.8721785510.1%
 
-3.695511110.1%
 
-3.6934082510.1%
 
-3.636677510.1%
 
-3.6211626510.1%
 
-3.5159561610.1%
 
-3.5069026910.1%
 
ValueCountFrequency (%) 
3.4928963210.1%
 
3.4318835710.1%
 
3.3444721710.1%
 
3.3373100810.1%
 
3.2639348510.1%
 
3.2588746510.1%
 
3.2139842510.1%
 
3.2117602810.1%
 
3.0689656710.1%
 
2.9999077310.1%
 

att14
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4371396963
Minimum-9.81347656
Maximum10.18849945
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:57.374393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-9.81347656
5-th percentile-4.779277203
Q1-2.266192972
median-0.62297928
Q31.34494555
95-th percentile4.146836186
Maximum10.18849945
Range20.00197601
Interquartile range (IQR)3.611138522

Descriptive statistics

Standard deviation2.739591333
Coefficient of variation (CV)-6.267084313
Kurtosis0.2091671031
Mean-0.4371396963
Median Absolute Deviation (MAD)1.775846895
Skewness0.2374369884
Sum-874.2793926
Variance7.505360674
MonotocityNot monotonic
2020-10-08T15:02:57.606132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.9822174920.1%
 
-2.0803241720.1%
 
-1.4186552820.1%
 
-0.9277556520.1%
 
-1.6129057420.1%
 
-6.9670782120.1%
 
1.7502061110.1%
 
-3.0624074910.1%
 
-4.8745522510.1%
 
-0.9890024110.1%
 
0.3332972810.1%
 
-0.1899285610.1%
 
1.3849006910.1%
 
1.9195020210.1%
 
2.8768901810.1%
 
-1.5262283110.1%
 
0.5449306410.1%
 
-1.9767223610.1%
 
-2.6879799410.1%
 
4.6717958510.1%
 
-1.5977156210.1%
 
-1.4733433710.1%
 
0.3805957410.1%
 
-4.3733148610.1%
 
3.0504560510.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-9.8134765610.1%
 
-9.773243910.1%
 
-8.3559465410.1%
 
-7.7384200110.1%
 
-7.5012359610.1%
 
-7.4306778910.1%
 
-7.3934345210.1%
 
-7.211697110.1%
 
-7.1995873510.1%
 
-7.102931510.1%
 
ValueCountFrequency (%) 
10.1884994510.1%
 
9.5873508510.1%
 
8.6625318510.1%
 
8.1997222910.1%
 
8.1328315710.1%
 
7.8815813110.1%
 
7.746652610.1%
 
7.7243866910.1%
 
7.6270160710.1%
 
7.6144027710.1%
 

att35
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1076722273
Minimum-5.48401928
Maximum4.91564751
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:58.018065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-5.48401928
5-th percentile-2.388493706
Q1-0.915863305
median0.14430505
Q31.122528762
95-th percentile2.576394717
Maximum4.91564751
Range10.39966679
Interquartile range (IQR)2.038392068

Descriptive statistics

Standard deviation1.501535238
Coefficient of variation (CV)13.94542749
Kurtosis-0.07444834288
Mean0.1076722273
Median Absolute Deviation (MAD)1.0135954
Skewness-0.04749074283
Sum215.3444545
Variance2.25460807
MonotocityNot monotonic
2020-10-08T15:02:58.241392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.7023594420.1%
 
2.9923930220.1%
 
0.4216496320.1%
 
0.4226338320.1%
 
-0.1826858520.1%
 
1.2447708820.1%
 
2.0995316510.1%
 
0.1909807910.1%
 
-0.2144882710.1%
 
1.2583576410.1%
 
0.1293879710.1%
 
1.6134148810.1%
 
-0.0016983710.1%
 
0.9836062210.1%
 
-0.300270810.1%
 
-0.4509301210.1%
 
2.6108505710.1%
 
0.6512131710.1%
 
0.7815677510.1%
 
1.5833334910.1%
 
0.504772910.1%
 
0.4085617710.1%
 
3.0252757110.1%
 
0.7513908110.1%
 
-1.1685118710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-5.4840192810.1%
 
-4.6667861910.1%
 
-4.2879991510.1%
 
-4.166372310.1%
 
-3.9056489510.1%
 
-3.8992974810.1%
 
-3.8648698310.1%
 
-3.8267939110.1%
 
-3.7377359910.1%
 
-3.7022402310.1%
 
ValueCountFrequency (%) 
4.9156475110.1%
 
4.8927407310.1%
 
4.6028432810.1%
 
4.5752754210.1%
 
4.4127397510.1%
 
3.9495072410.1%
 
3.9311907310.1%
 
3.9058775910.1%
 
3.9001114410.1%
 
3.8978946210.1%
 

att51
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1390375376
Minimum-4.89716625
Maximum3.63762021
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:58.465685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.89716625
5-th percentile-1.991854408
Q1-0.903895225
median-0.113480675
Q30.6145303675
95-th percentile1.652681539
Maximum3.63762021
Range8.53478646
Interquartile range (IQR)1.518425592

Descriptive statistics

Standard deviation1.119116857
Coefficient of variation (CV)-8.04902673
Kurtosis0.1179661358
Mean-0.1390375376
Median Absolute Deviation (MAD)0.756172865
Skewness-0.08947611976
Sum-278.0750753
Variance1.252422539
MonotocityNot monotonic
2020-10-08T15:02:58.677196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.7169005920.1%
 
-0.9207001920.1%
 
1.3256907520.1%
 
-0.8968648920.1%
 
-0.7176294920.1%
 
0.8560178320.1%
 
0.1455213410.1%
 
1.7830038110.1%
 
-0.5928178410.1%
 
-1.0249519310.1%
 
0.4189491910.1%
 
-0.7797223310.1%
 
0.0401462910.1%
 
0.1346625510.1%
 
0.1285783610.1%
 
-0.1928359110.1%
 
0.6312489510.1%
 
-1.0582339810.1%
 
0.6504196510.1%
 
-1.4634270710.1%
 
-1.0126084110.1%
 
-0.9487969910.1%
 
1.1224120910.1%
 
0.1618309310.1%
 
-0.2042867710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-4.8971662510.1%
 
-3.7498333510.1%
 
-3.6882281310.1%
 
-3.4675698310.1%
 
-3.4430658810.1%
 
-3.3925545210.1%
 
-3.3586454410.1%
 
-3.2272324610.1%
 
-3.2157146910.1%
 
-3.1735920910.1%
 
ValueCountFrequency (%) 
3.6376202110.1%
 
3.5476419910.1%
 
3.3885922410.1%
 
3.2678198810.1%
 
2.897010810.1%
 
2.8828704410.1%
 
2.879103910.1%
 
2.8355181210.1%
 
2.8063402210.1%
 
2.6563649210.1%
 

att4
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.635314798
Minimum-14.30356312
Maximum16.8248291
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:58.891634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-14.30356312
5-th percentile-6.745649096
Q1-2.186701835
median0.83083147
Q35.360158803
95-th percentile11.91248445
Maximum16.8248291
Range31.12839222
Interquartile range (IQR)7.546860638

Descriptive statistics

Standard deviation5.507580549
Coefficient of variation (CV)3.367902349
Kurtosis-0.3712679736
Mean1.635314798
Median Absolute Deviation (MAD)3.61438966
Skewness0.3040439862
Sum3270.629596
Variance30.3334435
MonotocityNot monotonic
2020-10-08T15:02:59.103696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6.9225149220.1%
 
-0.8419451720.1%
 
1.1498473920.1%
 
-0.1649581320.1%
 
0.7461469220.1%
 
3.8085043420.1%
 
9.2997646310.1%
 
11.0248022110.1%
 
-1.5244870210.1%
 
4.9665117310.1%
 
-1.9455043110.1%
 
-1.2694379110.1%
 
-4.7724809610.1%
 
-4.0723195110.1%
 
4.1040511110.1%
 
-2.9964432710.1%
 
1.754372610.1%
 
-2.7706692210.1%
 
-2.0628371210.1%
 
-0.5254776510.1%
 
-4.0040864910.1%
 
0.0173349110.1%
 
-1.0235973610.1%
 
2.7958307310.1%
 
-7.5114097610.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-14.3035631210.1%
 
-12.7305278810.1%
 
-12.5642824210.1%
 
-11.7280921910.1%
 
-11.569859510.1%
 
-11.3114347510.1%
 
-11.0923061410.1%
 
-10.7728824610.1%
 
-10.7417888610.1%
 
-10.6817045210.1%
 
ValueCountFrequency (%) 
16.824829110.1%
 
15.5750875510.1%
 
15.5325183910.1%
 
14.7271184910.1%
 
14.500986110.1%
 
14.4987449610.1%
 
14.4812488610.1%
 
14.3637056410.1%
 
14.3267087910.1%
 
14.3125572210.1%
 

att18
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8367059976
Minimum-6.64515781
Maximum8.75007629
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:59.330063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-6.64515781
5-th percentile-3.001420578
Q1-0.685036915
median0.921254515
Q32.43313694
95-th percentile4.518638517
Maximum8.75007629
Range15.3952341
Interquartile range (IQR)3.118173855

Descriptive statistics

Standard deviation2.286909748
Coefficient of variation (CV)2.733229778
Kurtosis-0.1557298873
Mean0.8367059976
Median Absolute Deviation (MAD)1.55343169
Skewness-0.05267177231
Sum1673.411995
Variance5.229956195
MonotocityNot monotonic
2020-10-08T15:02:59.537513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.3288438320.1%
 
1.1590549920.1%
 
4.6462688420.1%
 
-0.9584924620.1%
 
1.5583581920.1%
 
-0.0827390620.1%
 
-0.8020082710.1%
 
-0.3002438510.1%
 
-0.0081065310.1%
 
-2.4410786610.1%
 
2.8514180210.1%
 
6.35231410.1%
 
0.1087037310.1%
 
2.5238912110.1%
 
-0.3112444310.1%
 
2.8672778610.1%
 
-2.0644998610.1%
 
0.5816327310.1%
 
1.0090203310.1%
 
1.0177178410.1%
 
1.4906017810.1%
 
6.2199640310.1%
 
-3.3449356610.1%
 
4.1740703610.1%
 
3.260191210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-6.6451578110.1%
 
-6.2204923610.1%
 
-5.8612422910.1%
 
-5.7963409410.1%
 
-5.3035316510.1%
 
-5.2943534910.1%
 
-5.2855520210.1%
 
-5.1607065210.1%
 
-5.1179351810.1%
 
-4.8851232510.1%
 
ValueCountFrequency (%) 
8.7500762910.1%
 
8.2559080110.1%
 
7.7307815610.1%
 
7.3521003710.1%
 
7.0001516310.1%
 
6.938331610.1%
 
6.9379081710.1%
 
6.9164352410.1%
 
6.9070749310.1%
 
6.8528957410.1%
 

att50
Real number (ℝ)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09101871197
Minimum-4.5425806
Maximum3.74986267
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:02:59.809091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4.5425806
5-th percentile-1.70254961
Q1-0.653879955
median0.09743208
Q30.804428815
95-th percentile1.877798473
Maximum3.74986267
Range8.29244327
Interquartile range (IQR)1.45830877

Descriptive statistics

Standard deviation1.089753997
Coefficient of variation (CV)11.97285671
Kurtosis0.04895195526
Mean0.09101871197
Median Absolute Deviation (MAD)0.7322858
Skewness0.02175098298
Sum182.037424
Variance1.187563774
MonotocityNot monotonic
2020-10-08T15:03:00.017763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6492221420.1%
 
1.5305076820.1%
 
-1.632966420.1%
 
1.3713656720.1%
 
1.7735377620.1%
 
-0.3749566120.1%
 
1.0585986410.1%
 
0.0964187410.1%
 
-0.6044587510.1%
 
-0.1563271310.1%
 
-0.7295305710.1%
 
3.313331610.1%
 
0.0984454210.1%
 
-1.4271936410.1%
 
-0.3502559110.1%
 
1.5837284310.1%
 
0.325948610.1%
 
0.1611536110.1%
 
-1.1488820310.1%
 
-1.4600399710.1%
 
0.1192623410.1%
 
0.897122510.1%
 
-0.4986095710.1%
 
-1.5408422910.1%
 
-1.1872465610.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
-4.542580610.1%
 
-3.4903011310.1%
 
-3.2986898410.1%
 
-3.2656016310.1%
 
-2.7559361510.1%
 
-2.6872444210.1%
 
-2.6247973410.1%
 
-2.6081237810.1%
 
-2.5808153210.1%
 
-2.5692648910.1%
 
ValueCountFrequency (%) 
3.7498626710.1%
 
3.6520872110.1%
 
3.3437366510.1%
 
3.313331610.1%
 
3.3072433510.1%
 
3.2916631710.1%
 
3.1810674710.1%
 
3.0106201210.1%
 
2.9630527510.1%
 
2.8748054510.1%
 

target
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Memory size15.8 KiB
2020-10-08T15:03:00.202520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotocityIncreasing
2020-10-08T15:03:00.348958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 
ValueCountFrequency (%) 
020010.0%
 
120010.0%
 
220010.0%
 
320010.0%
 
420010.0%
 
520010.0%
 
620010.0%
 
720010.0%
 
820010.0%
 
920010.0%
 
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 

Interactions

2020-10-08T15:01:34.651664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:34.851397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:35.043936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:35.243971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:35.435213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:35.633950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:35.819241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.020977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.223692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.416364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.609859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.803206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:36.998862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:37.179005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:37.387362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:37.606787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:37.791730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:37.984431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:38.188790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:38.379928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:38.562709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:38.756544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:38.934957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:39.119956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:39.290578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:39.472915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:39.642689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:39.827036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:40.204357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:40.403879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:40.594499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:40.780832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:40.948992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:41.115658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:41.312152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:41.487227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:41.659190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:41.845151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.029366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.205295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.382788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.575807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.761839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:42.982169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:43.189205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:43.373687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:43.550150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:43.735786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:43.930885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:44.135271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:44.334738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:44.522575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:44.713476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:44.917176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:45.130442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:45.314904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:45.492821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:45.836332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.032457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.213541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.398165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.575428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.743320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:46.915018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.077677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.257459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.427672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.605422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.792071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:47.964105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.134495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.306986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.472672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.630189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.816716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:48.983691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:49.146949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:49.319933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:49.497588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:49.660964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:49.824409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.013306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.190809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.371213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.539460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.713783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:50.882467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:51.226874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:51.413316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:51.590678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:51.771401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:51.949877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:52.111987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:52.281004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:52.476148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:52.653967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:52.825118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.010438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.200391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.373209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.543464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.722397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:53.896538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.073318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.240943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.411323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.574423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.747253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:54.924936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:55.096420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-08T15:02:34.270653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:34.445606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:34.613195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:34.776902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:35.139626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:35.324933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:35.532119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:35.718702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:35.902193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:36.077876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:36.262403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:36.451797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:36.635621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:36.819457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.003006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.181386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.353384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.558149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.760665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:37.948945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:38.151997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:38.346709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:38.529235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:38.733370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:38.945208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:39.140937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:39.331378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:39.521134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:39.736873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:39.922813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:40.122820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:40.340421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:40.543651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:40.930024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:41.142505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:41.335467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:41.521831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:41.724933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:41.913228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:42.092750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:42.283318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:42.477905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:42.667386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:42.863338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.044155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.217472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.396948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.563115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.736848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:43.900167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.076725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.269126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.440022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.613209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.793077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:44.949248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:45.126723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:45.343915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:45.550099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:45.713140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:45.906545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:46.103290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:46.434549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:46.597202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:46.777364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:46.961364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.137564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.301485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.470281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.650059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.821752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:47.998665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:48.174068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:48.349382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:48.529101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:48.701126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:48.859393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.045763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.212618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.376195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.546606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.728213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:49.889906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-08T15:03:00.544959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-08T15:03:00.952203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-08T15:03:01.530548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-08T15:03:01.958296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-10-08T15:02:50.248281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:02:50.879325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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1-1.5682731.281628-5.036009-0.7830714.220469-1.1744431.0707993.546106-0.8575510.4857921.4298831.346073-0.658064-2.728002-0.950611-0.6694650.5924601.6768340.0875140
20.555195-0.441360-9.639157-0.5234673.4007692.502617-0.762313-0.791784-0.8853161.097748-0.0252654.153403-2.0177402.609470-2.6722650.772292-1.717650-0.3940811.5786190
30.2761120.982438-6.6503750.0010213.9248220.5939841.1805573.4894660.280389-0.913552-0.2045081.1533080.3889203.9875920.072599-1.072086-2.342780-4.406371-0.1332050
4-0.335391-0.563889-10.6645242.439588-3.304663-1.2811050.6836321.729491-1.2723780.298318-1.254907-0.949622-1.482741-0.638025-1.210731-0.6547050.4538853.1060490.8485140
50.289757-0.5728743.4376180.4340931.7333432.008052-1.5855648.2685223.762352-0.7587660.520910-2.7839261.2682711.5381661.2007830.6812304.0373372.3021030.8537720
61.162437-0.289895-13.9868710.655752-1.1180820.434160-2.0174861.770474-1.181819-0.398156-1.015069-1.800137-2.1601272.7317370.4725700.130266-3.3265221.5478370.3423200
71.8880570.805002-10.9514890.153581-0.066174-1.843684-0.6288761.513821-0.884082-0.062183-0.2161181.788652-0.763261-0.058082-0.228512-1.367491-2.6936000.1349910.1042770
8-0.516563-0.276942-13.141173-0.220351-0.1511520.868376-4.8274022.405563-1.2868921.0203190.7087820.553618-2.409878-0.5410130.707186-0.025036-3.0018882.1142111.1194480
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Last rows

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19911.839424-2.0949076.265252-2.1787482.963450-4.1522994.404633-1.0030550.793967-0.235112-0.294708-6.2917830.6119212.0437830.8496550.730247-8.5152292.5535050.1186559
19921.8608210.4253482.994551-0.645585-3.0992900.796774-1.7959384.8042101.740461-0.911188-0.1345437.1088560.9221415.889473-1.9814040.7985423.146789-0.537296-1.2661389
19930.1102140.962129-4.5600460.2401590.093552-1.6355601.011057-3.6391020.1703281.0904270.482637-6.330453-1.2846065.2287041.2146940.1550032.4431102.612200-0.0378249
19940.970250-0.491677-1.286832-1.2807761.269131-0.239676-2.9176643.898723-5.1522720.8925871.504571-1.3157470.412560-1.5604190.8969410.1552758.7103432.194012-0.2850499
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19960.3842691.4394735.892684-0.565490-0.869375-1.6799230.0886584.490661-2.696495-0.1280560.2275733.3556560.6420610.0912591.544659-1.8249876.8712630.9582500.7547469
19971.6448990.9166831.881613-3.4095431.740497-1.6226181.213070-2.2161341.568542-0.4396370.309964-0.614610-2.8960726.4714170.3205450.4064950.6558882.342328-0.7684409
19981.250345-0.014442-1.5308860.0684871.480784-2.703287-0.126995-2.670146-0.7144651.4052140.128358-2.165543-1.1108282.3618460.248074-0.2315184.9560790.977249-0.5642929
19990.625316-1.05016311.2516340.836311-0.0734621.2448610.0985148.306461-2.4677340.0079121.8956280.6967350.516075-1.418655-0.182686-0.717629-0.8419451.558358-1.6329669

Duplicate rows

Most frequent

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0-1.299196-1.108911-8.5360121.694733-1.453728-0.094709-1.685797-0.1316540.246284-1.3926010.014517-7.7749571.219844-0.9822170.4216501.3256910.7461474.6462691.37136662
1-1.001351-0.975820-9.2563862.650584-2.020396-0.0686081.1225260.211415-0.585319-0.9781290.391491-2.5870270.210136-2.0803241.244771-0.9207003.8085041.1590551.77353862
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30.7255900.647193-3.3892351.290269-1.905762-1.2162260.6443474.4546713.653167-1.111852-0.3371572.128280-0.787018-6.9670782.992393-0.7169016.922515-0.9584921.53050832
40.821723-1.874779-7.299932-2.230126-3.0183160.222402-0.5493621.148520-2.1969920.5891870.214905-2.4304140.340729-0.9277562.702359-0.8968651.149847-0.328844-0.37495752
51.843478-0.64099011.5772490.1741620.0343821.3761922.4938920.1116910.937284-0.524962-0.4621060.374470-0.514124-1.6129060.4226340.856018-0.164958-0.0827390.64922272